outlier-scan
CommunityMulti-method outlier detection with JSON reports.
Authorhaomingz
Version1.0.0
Installs0
System Documentation
What problem does it solve?
CSV data often contains outliers that distort analysis and complicate data quality assessments. This tool detects outliers using Z-score, IQR, and moving-average methods, then categorizes them for targeted review and reporting.
Core Features & Use Cases
- Multi-method anomaly detection using Z-score, IQR, and moving-average to cover different data distributions.
- Automatic labeling of anomalies as "explainable" or "needs_attention" to prioritize investigation.
- JSON report summarizing per-row details and column statistics for downstream analysis and dashboards.
- Use case: sensor streams, finance data, or any tabular dataset where outliers matter.
Quick Start
Run python3 scripts/anomaly_detector.py data.csv to detect outliers across numeric columns and generate a JSON report.
Dependency Matrix
Required Modules
None requiredComponents
scripts
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: outlier-scan Download link: https://github.com/haomingz/kimi-skills/archive/main.zip#outlier-scan Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
Agent Skills Search Helper
Install a tiny helper to your Agent, search and equip skill from 471,000+ vetted skills library on demand.